Triple
T19978546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halga |
E493754
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Helgi |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Helgi | Statement: [Halga, nameVariant, Helgi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helgi Context triple: [Halga, nameVariant, Helgi]
-
A.
Helgi
chosen
Helgi is an Icelandic given name commonly used for males and rooted in Old Norse tradition.
-
B.
Högni
Högni is a legendary Norse hero and warrior from the Völsung and Nibelung traditions, often depicted as a brave but tragic figure caught in cycles of betrayal and revenge.
-
C.
Hjálmar
Hjálmar is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
-
D.
Thjálfi
Thjálfi is a swift-footed human servant and companion of the god Thor in Norse mythology, renowned for his speed and loyalty.
-
E.
Gylfi
Gylfi is an Icelandic given name most notably borne by professional footballer Gylfi Sigurðsson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11108481908241a2a96a795a7d |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:27 p.m.